online learning

Selecting the State-Representation in Reinforcement Learning NeurIPS 2011 Sequence learning with hidden units in spiking neural networks NeurIPS 2011 Stochastic convex optimization with bandit feedback NeurIPS 2011 TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NeurIPS 2011 The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond COLT 2011 Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking ACML 2010 Deterministic Single-Pass Algorithm for LDA NeurIPS 2010 Ellipsoidal Support Vector Machines ACML 2010 Empirical Bernstein Inequalities for U-Statistics NeurIPS 2010 Exploiting Feature Covariance in High-Dimensional Online Learning AISTATS 2010 Guarantees for Approximate Incremental SVMs AISTATS 2010 Incremental Sparsification for Real-time Online Model Learning AISTATS 2010 Large Scale Online Learning of Image Similarity Through Ranking JMLR 2010 Learning via Gaussian Herding NeurIPS 2010 MOA: Massive Online Analysis JMLR 2010 New Adaptive Algorithms for Online Classification NeurIPS 2010 Non-Stochastic Bandit Slate Problems NeurIPS 2010 Online Anomaly Detection under Adversarial Impact AISTATS 2010 Online Classification with Specificity Constraints NeurIPS 2010 Online Learning for Latent Dirichlet Allocation NeurIPS 2010 Online Learning for Matrix Factorization and Sparse Coding JMLR 2010 Online Learning in The Manifold of Low-Rank Matrices NeurIPS 2010 Online Learning: Random Averages, Combinatorial Parameters, and Learnability NeurIPS 2010 Online Markov Decision Processes under Bandit Feedback NeurIPS 2010 Online Passive-Aggressive Algorithms on a Budget AISTATS 2010